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We research across six different areas of computational evolution.
Models in ecology increasingly rely on rich genomic data which has a complex correlation structure due to shared ancestry, spatial and environmental history.
The study of phylodynamics uses the information in pathogen genomes to understand and predict epidemic dynamics and outbreaks.
The research in this area looks at how life evolved, and what are the attributes of intelligent life.
Modelling and applying evolutionary processes in the cultural domain which has culminated in multiple publications in Science, Nature and PNAS.
Developing the mathematical framework and algorithms to untangle the web of life is the central focus of this group.
Applications of phylogenetics are completely reliant on having software available.
Our centre has researched implementing and elaborating the multispecies coalescent model for embedding gene trees inside a shared species tree.
Search for current research opportunities.
We hold regular research meetings where CCE researchers and visitors present on current projects.
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